Ageing Prisoners' Disease Burden: Is Being Old a Better Predictor than Time Served in Prison?

Background: The number of older prisoners entering and ageing in prison has increased in the last few decades. Ageing prisoners pose unique challenges to the prison administration as they have differentiated social, custodial and healthcare needs than prisoners who are younger and relatively healthier. Objective: The goal of this study was to explore and compare the somatic disease burden of old and young prisoners, and to examine whether it can be explained by age group and/or time served in prison. Methods: Access to prisoner medical records was granted to extract disease and demographic information of older (>50 years) and younger (≤49 years) prisoners in different Swiss prisons. Predictor variables included the age group and the time spent in prison. The dependent variable was the total number of somatic diseases as reported in the medical records. Results were analysed using descriptive statistics and a negative binomial model. Results: Data of 380 male prisoners from 13 different prisons in Switzerland reveal that the mean ages of older and younger prisoners were 58.78 and 34.26 years, respectively. On average, older prisoners have lived in prison for 5.17 years and younger prisoners for 2.49 years. The average total number of somatic diseases reported by older prisoners was 2.26 times higher than that of prisoners below 50 years of age (95% CI 1.77-2.87, p < 0.001). Conclusion: This study is the first of its kind to capture national disease data of prisoners with a goal of comparing the disease burden of older and younger prisoners. Study findings indicate that older inmates suffer from more somatic diseases and that the number of diseases increases with age group. Results clearly illustrate the poorer health conditions of those who are older, their higher healthcare burden, and raises questions related to the provision of healthcare for inmates growing old in prison. © 2014 S. Karger AG, Basel.

A Public Service Gap: Capturing Contexts in a Comparative Approach of Street-Level Bureaucracy

Studies of street-level bureaucracy have introduced a variety of conceptualizations, research approaches, and causal inferences. While this research has produced several insights, the impact of variety in the institutional context has not been adequately explored. We present the construct of a public service gap as a way to incorporate contextual factors and facilitate comparison. This construct addresses the differences between what is asked of and what is offered to public servants working at the street level. The heuristic enables the systematic capture of macro- and meso-contextual influences, thus enhancing comparative research on street-level bureaucracy.

A cell biological view of the siderophore pyochelin iron uptake pathway in Pseudomonas aeruginosa.

Pyochelin (PCH) is a siderophore produced and secreted by Pseudomonas aeruginosa for iron capture. Using (55) Fe uptake and binding assays, we showed that PCH-Fe uptake in P. aeruginosa involves, in addition to the highly studied outer membrane transporter FptA, the inner membrane permease FptX, which recognizes PCH-(55) Fe with an affinity of 0.6 ± 0.2 nM and transports the ferri-siderophore complex from the periplasm into the cytoplasm: fptX deletion inhibited (55) Fe accumulation in the bacterial cytoplasm. Chromosomal replacement was used to generate P. aeruginosa strains producing fluorescent fusions with FptX, PchR (an AraC regulator), PchA (the first enzyme involved in the PCH biosynthesis) and PchE (a non-ribosomic peptide-synthetase involved in a further step). Fluorescence imaging and cellular fractionation showed a uniform repartition of FptX in the inner membrane. PchA and PchE were found in the cytoplasm, associated to the inner membrane all over the bacteria and also concentrated at the bacterial poles. PchE clustering at the bacterial poles was dependent on PchA expression, but on the opposite PchA clustering and membrane association was PchE-independent. PchA and PchE cellular organization suggests the existence of a siderosome for PCH biosynthesis as previously proposed for pyoverdine biosynthesis (another siderophore produced by P. aeruginosa).

A Bayesian network approach to the database serch problem in criminal proceedings

Background The 'database search problem', that is, the strengthening of a case - in terms of probative value - against an individual who is found as a result of a database search, has been approached during the last two decades with substantial mathematical analyses, accompanied by lively debate and centrally opposing conclusions. This represents a challenging obstacle in teaching but also hinders a balanced and coherent discussion of the topic within the wider scientific and legal community. This paper revisits and tracks the associated mathematical analyses in terms of Bayesian networks. Their derivation and discussion for capturing probabilistic arguments that explain the database search problem are outlined in detail. The resulting Bayesian networks offer a distinct view on the main debated issues, along with further clarity. Methods As a general framework for representing and analyzing formal arguments in probabilistic reasoning about uncertain target propositions (that is, whether or not a given individual is the source of a crime stain), this paper relies on graphical probability models, in particular, Bayesian networks. This graphical probability modeling approach is used to capture, within a single model, a series of key variables, such as the number of individuals in a database, the size of the population of potential crime stain sources, and the rarity of the corresponding analytical characteristics in a relevant population. Results This paper demonstrates the feasibility of deriving Bayesian network structures for analyzing, representing, and tracking the database search problem. The output of the proposed models can be shown to agree with existing but exclusively formulaic approaches. Conclusions The proposed Bayesian networks allow one to capture and analyze the currently most well-supported but reputedly counter-intuitive and difficult solution to the database search problem in a way that goes beyond the traditional, purely formulaic expressions. The method's graphical environment, along with its computational and probabilistic architectures, represents a rich package that offers analysts and discussants with additional modes of interaction, concise representation, and coherent communication.

Analysis of selectin ligands supporting hematologic malignancy cell interactions with their microenvironment : focus on leukemia and multiple myeloma

CONTEXTE: Les sélectines sont une famille de trois protéines qui règlent la capture et le roulement des leucocytes et qui initient la cascade d'adhésion. Elles contrôlent également la migration des leucocytes en réponse à un stimulus physiologique ou inflammatoire pour atteindre un organe cible. Le rôle des sélectines et des leurs ligands est bien connu dans l'adhésion des leucocytes normaux à l'endothélium; en revanche, la nature des ligands des sélectines exprimés par les cellules leucémiques et le myélome multiple est peu connue. La récente découverte que la E- et la P-sélectine sont exprimées par les cellules endothéliales et du stroma de la moelle osseuse, nous a incité à examiner leur rôle dans les interactions des cellules malignes avec leur environnement médullaire. RÉSULTATS: Les analyses ont été conduites sur les cellules du sang ou de la moelle osseuse prélevées à des patients atteints de leucémie aiguë ou de myélome multiple et sur des lignées cellulaires. Les ligands des sélectines qui ont été identifiés sur les blastes leucémiques ou les plasmocytes, sont « P-selectin glycoprotein ligand-1 » (PSGL-1), CD44, CD43 et l'endoglycan (EGC), ainsi que les saccharides fucosylés sLex et CLA. Nous avons vérifié dans des expériences d'adhésion cellulaire effectuées dans des conditions de flux que ces ligands sont fonctionnels, étant porteurs des sucres mentionnés, et qu'ils sont capables de supporter le roulement cellulaire dépendant des sélectines. De plus, nous avons montré que la liaison de ces ligands génère des signaux intracellulaires favorisant la prolifération et la survie des cellules de myélome. CONCLUSION. Les données présentées ici montrent que la E- et la P- sélectine du microenvironnement médullaire interagissent avec les cellules leucémiques et de myélome multiple, et que ces interactions activent des voies de signalisation contrôlant la prolifération et la survie cellulaire. Ces effets protecteurs sont impliqués dans la persistance de clones cellulaires malins résistant aux traitements et peuvent conduire à la récidive de la maladie. L'inhibition de ces interactions pourrait fournir de nouvelles options thérapeutiques pour le traitement de ces maladies de mauvais pronostic. - BACKGROUND: Selectins are a family of glycoproteins involved in the first steps of the adhesion cascade, tethering and rolling, during which leukocytes sense tissue specific signals and commit the cells to enter in a particular organ or inflammation site. While the role of selectins and their ligands is well established in supporting normal leukocyte adhesion to vascular endothelium, our knowledge of selectin ligands in two hematological malignancies, acute leukemia and multiple myeloma, is incomplete. The recent discovery that E- and P- selectin are also expressed on bone marrow (BM) endothelial and stromal cells, prompted us to investigate a potential role in selectin-mediated interaction of malignant cells with its protective BM microenvironment. RESULTS. Using cells obtained from blood or BM of patients affected by acute myeloid or lymphoblastic leukemia, or multiple myeloma, as well as cell lines, we characterized the expression of selectin ligands on blasts and plasma cells and identified P-selectin glycoprotein ligand-1 (PSGL-1), CD44, CD43 and endoglycan (EGC), as well as sLex/CLA determinants. Rolling assays under flow conditions allowed us to verify that these ligands are functional, i.e. correctly glycosylated and able to support selectin-mediated rolling. Moreover, we demonstrated that these ligands trigger proliferation and pro-survival signals upon engagement on myeloma cells. CONCLUSIONS. Data presented here demonstrate that E- and P-selectin in the BM microenvironment interact with leukemia and myeloma cells, and suggest that they have an impact on proliferation and survival of malignant plasma cells. These protective effects may induce drug resistance in malignant clones, leading to disease relapse. Interfering with these interactions could provide new therapeutic options. - Le corps humain dépend du système immunitaire pour sa protection face aux agressions, notamment des bactéries ou des virus, ou face à une dysfonction de l'organisme. Ce système est composé de plusieurs types cellulaires, regroupés sous le nom de leucocytes, qui participent à son fonctionnement. Ces cellules se développent à partir d'une cellule souche hématopo'iétique commune qui réside dans la moelle osseuse. Comme c'est le cas dans les autres tissus, les cellules du système immunitaire peuvent aussi développer des cancers, appelés tumeurs hématopoïétiques ou tumeurs du sang. Bien que ces maladies puissent être traitées avec succès grâce à de fortes doses de chimiothérapies ou à d'autres moyens comme les greffes, les patients connaissent un fort taux de rechute. La raison de ces récidives est la survie d'une partie des cellules malignes dans la moelle osseuse, où elles reçoivent une protection au traitement par le biais de l'interaction avec d'autres cellules. Les sélectines (E-, P- et L-sélectine) régulent l'interaction des leucocytes avec l'endothélium (la paroi des vaisseaux sanguins), d'autres leucocytes et les plaquettes ; ces interactions surviennent quand les leucocytes atteignent un site d'inflammation ou un organe cible. Dans la moelle osseuse, la E- et la P-sélectine se trouvent sur les cellules de l'endothélium et sur les macrophages, qui sont d'autres leucocytes faisant partie du stroma de la moelle. Elles pourraient être impliquées dans la protection des cellules cancéreuses évoquée plus haut. Les molécules d'adhésion avec lesquelles les sélectines s'associent, autrement dit les ligands des sélectines, sont des glycoprotéines. Ces protéines ont besoin de sucres spécifiques pour acquérir une telle capacité d'adhésion. Dans le cadre de cette thèse, nous avons étudié deux types de cellules extraites du sang et de la moelle osseuse des patients atteints d'une leucémie aiguë (les blastes) ou de myélome multiple (les plasmocytes), et leur capacité à se lier aux sélectines. Nous avons démontré une interaction entre ces cellules malignes et la E- et/ou la P-sélectine, à condition que les ligands soient correctement décorés. De plus, lors que les plasmocytes se lient aux sélectines, une cascade de signaux à l'intérieur des cellules stimule leur prolifération et leur survie. L'ensemble de ces résultats permet l'identification de nouvelles cibles thérapeutiques potentielles de ces hémopathies de mauvais pronostic.

Randomized trial of pacemaker and lead system for safe scanning at 1.5 Tesla.

BACKGROUND: Magnetic resonance imaging (MRI) of pacemakers is a relative contraindication because of the risks to the patient from potentially hazardous interactions between the MRI and the pacemaker system. Chest scans (ie, cardiac magnetic resonance scans) are of particular importance and higher risk. The previously Food and Drug Administration-approved magnetic resonance conditional system includes positioning restrictions, limiting the powerful utility of MRI. OBJECTIVE: To confirm the safety and effectiveness of a pacemaker system designed for safe whole body MRI without MRI scan positioning restrictions. METHODS: Primary eligibility criteria included standard dual-chamber pacing indications. Patients (n = 263) were randomized in a 2:1 ratio to undergo 16 chest and head scans at 1.5 T between 9 and 12 weeks postimplant (n = 177) or to not undergo MRI (n = 86) post-implant. Evaluation of the pacemaker system occurred immediately before, during (monitoring), and after MRI, 1-week post-MRI, and 1-month post-MRI, and similarly for controls. Primary end points measured the MRI-related complication-free rate for safety and compared pacing capture threshold between MRI and control subjects for effectiveness. RESULTS: There were no MRI-related complications during or after MRI in subjects undergoing MRI (n = 148). Differences in pacing capture threshold values from pre-MRI to 1-month post-MRI were minimal and similar between the MRI and control groups. CONCLUSIONS: This randomized trial demonstrates that the Advisa MRI pulse generator and CapSureFix MRI 5086MRI lead system is safe and effective in the 1.5 T MRI environment without positioning restrictions for MRI scans or limitations of body parts scanned.

Evaluation of a mixed approach combining stationary and wearable systems to monitor gait over long distance.

Thanks to decades of research, gait analysis has become an efficient tool. However, mainly due to the price of the motion capture systems, standard gait laboratories have the capability to measure only a few consecutive steps of ground walking. Recently, wearable systems were proposed to measure human motion without volume limitation. Although accurate, these systems are incompatible with most of existing calibration procedures and several years of research will be necessary for their validation. A new approach consisting of using a stationary system with a small capture volume for the calibration procedure and then to measure gait using a wearable system could be very advantageous. It could benefit from the knowledge related to stationary systems, allow long distance monitoring and provide new descriptive parameters. The aim of this study was to demonstrate the potential of this approach. Thus, a combined system was proposed to measure the 3D lower body joints angles and segmental angular velocities. It was then assessed in terms of reliability towards the calibration procedure, repeatability and concurrent validity. The dispersion of the joint angles across calibrations was comparable to those of stationary systems and good reliability was obtained for the angular velocities. The repeatability results confirmed that mean cycle kinematics of long distance walks could be used for subjects' comparison and pointed out an interest for the variability between cycles. Finally, kinematics differences were observed between participants with different ankle conditions. In conclusion, this study demonstrated the potential of a mixed approach for human movement analysis.

Uncertainty Quantification Of A Semi-Supervised Support Vector Regression Reservoir Model

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. Recent advances in machine learning offer a novel approach to model spatial distribution of petrophysical properties in complex reservoirs alternative to geostatistics. The approach is based of semisupervised learning, which handles both ?labelled? observed data and ?unlabelled? data, which have no measured value but describe prior knowledge and other relevant data in forms of manifolds in the input space where the modelled property is continuous. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic geological features and describe stochastic variability and non-uniqueness of spatial properties. On the other hand, it is able to capture and preserve key spatial dependencies such as connectivity of high permeability geo-bodies, which is often difficult in contemporary petroleum reservoir studies. Semi-supervised SVR as a data driven algorithm is designed to integrate various kind of conditioning information and learn dependences from it. The semi-supervised SVR model is able to balance signal/noise levels and control the prior belief in available data. In this work, stochastic semi-supervised SVR geomodel is integrated into Bayesian framework to quantify uncertainty of reservoir production with multiple models fitted to past dynamic observations (production history). Multiple history matched models are obtained using stochastic sampling and/or MCMC-based inference algorithms, which evaluate posterior probability distribution. Uncertainty of the model is described by posterior probability of the model parameters that represent key geological properties: spatial correlation size, continuity strength, smoothness/variability of spatial property distribution. The developed approach is illustrated with a fluvial reservoir case. The resulting probabilistic production forecasts are described by uncertainty envelopes. The paper compares the performance of the models with different combinations of unknown parameters and discusses sensitivity issues.

Measuring and Explaining the Increase of Travel Distance : A Multilevel Analysis Using Repeated Cross Sectional Travel Surveys

We want to shed some light on the development of person mobility by analysing the repeated cross-sectional data of the four National Travel Surveys (NTS) that were conducted in Germany since the mid seventies. The above mentioned driving forces operate on different levels of the system that generates the spatial behaviour we observe: Travel demand is derived from the needs and desires of individuals to participate in spatially separated activities. Individuals organise their lives in an interactive process within the context they live in, using given infrastructure. Essential determinants of their demand are the individual's socio-demographic characteristics, but also the opportunities and constraints defined by the household and the environment are relevant for the behaviour which ultimately can be realised. In order to fully capture the context which determines individual behaviour, the (nested) hierarchy of persons within households within spatial settings has to be considered. The data we will use for our analysis contains information on these three levels. With the analysis of this micro-data we attempt to improve our understanding of the afore subsumed macro developments. In addition we will investigate the prediction power of a few classic sociodemographic variables for the daily travel distance of individuals in the four NTS data sets, with a focus on the evolution of this predictive power. The additional task to correctly measure distances travelled by means of the NTS is threatened by the fact that although these surveys measure the same variables, different sampling designs and data collection procedures were used. So the aim of the analysis is also to detect variables whose control corrects for the known measurement error, as a prerequisite to apply appropriate models in order to better understand the development of individual travel behaviour in a multilevel context. This task is complicated by the fact that variables that inform on survey procedures and outcomes are only provided with the data set for 2002 (see Infas and DIW Berlin, 2003).

IROme, a New High-Throughput Molecular Tool for the Diagnosis of Inherited Retinal Dystrophies.

The molecular diagnosis of retinal dystrophies is difficult because of the very important number of genes implicated and is rarely helped by genotype-phenotype correlations. This prompted us to develop IROme, a custom designed in solution-based targeted exon capture assay (SeqCap EZ Choice library, Roche NimbleGen) for 60 retinitis pigmentosa-linked genes and three candidate genes (942 exons). Pyrosequencing was performed on a Roche 454 GS Junior benchtop high-throughput sequencing platform. In total, 23 patients affected by retinitis pigmentosa were analyzed. Per patient, 39.6 Mb were generated, and 1111 sequence variants were detected on average, at a median coverage of 17-fold. After data filtering and sequence variant prioritization, disease-causing mutations were identified in ABCA4, CNGB1, GUCY2D, PROM1, PRPF8, PRPF31, PRPH2, RHO, RP2, and TULP1 for twelve patients (55%), ten mutations having never been reported previously. Potential mutations were identified in 5 additional patients, and in only 6 patients no molecular diagnosis could be established (26%). In conclusion, targeted exon capture and next-generation sequencing are a valuable and efficient approach to identify disease-causing sequence variants in retinal dystrophies.

The average inter-crossing number of equilateral random walks and polygons

In this paper, we study the average inter-crossing number between two random walks and two random polygons in the three-dimensional space. The random walks and polygons in this paper are the so-called equilateral random walks and polygons in which each segment of the walk or polygon is of unit length. We show that the mean average inter-crossing number ICN between two equilateral random walks of the same length n is approximately linear in terms of n and we were able to determine the prefactor of the linear term, which is a = (3 In 2)/(8) approximate to 0.2599. In the case of two random polygons of length n, the mean average inter-crossing number ICN is also linear, but the prefactor of the linear term is different from that of the random walks. These approximations apply when the starting points of the random walks and polygons are of a distance p apart and p is small compared to n. We propose a fitting model that would capture the theoretical asymptotic behaviour of the mean average ICN for large values of p. Our simulation result shows that the model in fact works very well for the entire range of p. We also study the mean ICN between two equilateral random walks and polygons of different lengths. An interesting result is that even if one random walk (polygon) has a fixed length, the mean average ICN between the two random walks (polygons) would still approach infinity if the length of the other random walk (polygon) approached infinity. The data provided by our simulations match our theoretical predictions very well.

Overcoming the rare species modelling paradox: test of a novel hierarchical framework with an Iberian endemic plant

Rare species have restricted geographic ranges, habitat specialization, and/or small population sizes. Datasets on rare species distribution usually have few observations, limited spatial accuracy and lack of valid absences; conversely they provide comprehensive views of species distributions allowing to realistically capture most of their realized environmental niche. Rare species are the most in need of predictive distribution modelling but also the most difficult to model. We refer to this contrast as the "rare species modelling paradox" and propose as a solution developing modelling approaches that deal with a sufficiently large set of predictors, ensuring that statistical models aren't overfitted. Our novel approach fulfils this condition by fitting a large number of bivariate models and averaging them with a weighted ensemble approach. We further propose that this ensemble forecasting is conducted within a hierarchic multi-scale framework. We present two ensemble models for a test species, one at regional and one at local scale, each based on the combination of 630 models. In both cases, we obtained excellent spatial projections, unusual when modelling rare species. Model results highlight, from a statistically sound approach, the effects of multiple drivers in a same modelling framework and at two distinct scales. From this added information, regional models can support accurate forecasts of range dynamics under climate change scenarios, whereas local models allow the assessment of isolated or synergistic impacts of changes in multiple predictors. This novel framework provides a baseline for adaptive conservation, management and monitoring of rare species at distinct spatial and temporal scales.

Lymph node stromal cells in homeostasis and immune response

Summary : Antigen-specific T lymphocytes constantly patrol the body to search for invading pathogens. Given the large external and internal body surfaces that need to be surveyed, a sophisticated strategy is necessary to facilitate encounters between T cells and pathogens. Dendritic cells present at all body surfaces are specialized in capturing pathogens and bringing them to T zones of secondary lymphoid organs, such as the lymph nodes and the spleen. Here, dendritic cells present antigenic fragments and activate the rare antigen-specific T lymphocytes. This induction of an immune response is facilitated in multiple ways by a dense network of poorly characterized stromal cells, termed fibroblastic reticular cells (FRCs). They constitutively produce the chemokines CCL21 and CCL19, which attract naïve T cells and dendritic cells into the T zone. Further, they provide an adhesion scaffold for dendritic cells and a migration scaffold for naïve T cells, allowing efficient screening of dendritic cell by thousands of T cells. FRCs also form a system of microchannels (conduits) that allows rapid transport of antigen or cytokines from the subcapsular sinus to the T zone. We characterized lymph node FRCS by flow cytometry, immunofluorescence microscopy, real time PCR and functional assays and could show that FRCs are a unique type of myofibroblasts which produce the T cell survival factor IL-7. This function was shown to be critically involved in regulating the size of the peripheral T cell pool and further demonstrates the importance of FRCs in maintaining immunocompetence. As we observed that some dendritic cells also express the receptor for IL-7, we expected a similar function of IL-7 in their survival. Surprisingly, we found no role for IL-7 in their survival but in their development. Analysis of hematopoietic precursors suggested that part of the dendritic cell pool develops out of an IL-7 dependent precursor, which maybe shared with lymphocytes. During the induction of an immune response, lymph node homeostasis is drastically altered when the lymph node expands several-fold in size to accommodate many more lymphocytes. Here, we describe that this expansion of the T zone is accompanied by the activation and proliferation of FRCs thereby preserving T zone architecture and function. This expansion of the FRC network is regulated by antigen-independent and -dependent events. It demonstrates the incredible plasticity of this organ allowing clonal expansion of antigen-specific lymphocytes. Résumé : Les lymphocytes T, spécifiques pour un antigène particulier, patrouillent constamment le corps à la recherche de l'invasion de pathogène. A cause des grandes surfaces externes et internes du corps, une stratégie sophistiquée est nécessaire afin de faciliter les rencontres entre les cellules T et les agents pathogènes. Les cellules dendritiques présentes dans toutes les surfaces du corps sont spécialisées dans la capture des agents pathogènes et dans le transport vers les zones T des organes lymphoïdes secondaires, comme les ganglions lymphatiques et la rate. Dans ces organes, les cellules dendritiques présentent les fragments antigéniques et activent les lymphocytes T rares. L'induction de cette réponse immunitaire est facilitée de différentes manières par un réseau dense de cellules strornales mal caractérisé, appelées 'fibroblastic reticular tells' (FRCs). FRCs produisent constitutivement les chimiokines CCL21 et CCL19, qui attirent les lymphocytes T naïfs et les cellules dendritiques vers la zone T. En outre, elles donnent une base d'adhérence pour les cellules dendritiques et elles attirent les cellules T naïves vers les cellules dendritiques. Les FRCs forment des petits canaux (ou conduits) qui permettent le transport rapide d'antigènes solubles ou de cytokines vers la zone T. Nous avons caractérisé les FRCs par cytométrie en flux, immunofluorescence et par PCR en temps réel et nous avons démontré que les FRCs sont un type unique de rnyofibroblastes qui produisent un facteur de survie des cellules T, l'Interleukine-7. Il a été démontré que cette fonction est cruciale afin d'augmenter la taille et la diversité du répertoire de cellules T, et ainsi, maintenir l'immunocompétence. Comme nous avons observé que certaines cellules dendritiques expriment également le récepteur de l'IL-7, nous avons testé une fonction similaire dans leur survie. Étonnamment, nous n'avons pas trouvé de rôle pour l'IL-7 dans leur survie, mais dans leur développement. L'analyse des précurseurs hématopoïétiques a suggéré qu'une fraction des cellules dendritiques se développe à partir des précurseurs dépendants de l'IL-7, qui sont probablement partagés avec les lymphocytes. Au cours de l'induction d'une réponse immunitaire, l'homéostasie du ganglion lymphatique est considérablement modifiée. En effet, sa taille augmente considérablement afin d'accueillir un plus grand nombre de lymphocytes. Nous décrivons ici que cet élargissement de la zone T est accompagné par l'activation et 1a prolifération des FRCs, préservant l'architecture et la fonction de la zone T. Cette expansion du réseau des FRCs est régie par des évènements à la fois dépendants et indépendants de l'antigène. Cela montre l'incroyable plasticité de cet organe qui permet l'expansion clonale des lymphocytes T spécifiques.

Risk Evaluation for Spoofing against a Sensor Supplied with Liveness Detection

The aim of this paper is to evaluate the risks associated with the use of fake fingerprints on a livescan supplied with a method of liveness detection. The method is based on optical properties of the skin. The sensor uses several polarizations and illuminations to capture the information of the different layers of the human skin. These experiments also allow for the determination under which conditions the system is deceived and if there is an influence respectively of the nature of the fake, the mould used for the production or the individuals involved in the attack. These experiments showed that current multispectral sensors can be deceived by the use of fake fingerprints created with or without the cooperation of the subject. Fakes created from direct casts perform better than those produced by fakes created from indirect casts. The results showed that the success of the attack is influenced by two main factors. The first is the quality of the fakes, and by extension the quality of the original fingerprint. The second is the combination of the general patterns involved in the attacks since an appropriate combination can strongly increase the rates of successful attacks.

Functional calibration procedure for 3D knee joint angle description using inertial sensors.

Measurement of three-dimensional (3D) knee joint angle outside a laboratory is of benefit in clinical examination and therapeutic treatment comparison. Although several motion capture devices exist, there is a need for an ambulatory system that could be used in routine practice. Up-to-date, inertial measurement units (IMUs) have proven to be suitable for unconstrained measurement of knee joint differential orientation. Nevertheless, this differential orientation should be converted into three reliable and clinically interpretable angles. Thus, the aim of this study was to propose a new calibration procedure adapted for the joint coordinate system (JCS), which required only IMUs data. The repeatability of the calibration procedure, as well as the errors in the measurement of 3D knee angle during gait in comparison to a reference system were assessed on eight healthy subjects. The new procedure relying on active and passive movements reported a high repeatability of the mean values (offset<1 degrees) and angular patterns (SD<0.3 degrees and CMC>0.9). In comparison to the reference system, this functional procedure showed high precision (SD<2 degrees and CC>0.75) and moderate accuracy (between 4.0 degrees and 8.1 degrees) for the three knee angle. The combination of the inertial-based system with the functional calibration procedure proposed here resulted in a promising tool for the measurement of 3D knee joint angle. Moreover, this method could be adapted to measure other complex joint, such as ankle or elbow.